{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TK47WXRH5QF4P5ZQZ6RGUBBMRZ","short_pith_number":"pith:TK47WXRH","canonical_record":{"source":{"id":"2410.20399","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-27T10:07:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"72ffddaebab8ff985612ccb3410de339c88cedb1a0c33db1e6e9a9fa92d9490f","abstract_canon_sha256":"7548f3555cf94b260c2e811073e64e97109f4ae5e13ee069e26c40d5ad0ad585"},"schema_version":"1.0"},"canonical_sha256":"9ab9fb5e27ec0bc7f730cfa26a042c8e4ea346e09a6a68b9827e480927492daa","source":{"kind":"arxiv","id":"2410.20399","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.20399","created_at":"2026-07-05T09:26:44Z"},{"alias_kind":"arxiv_version","alias_value":"2410.20399v1","created_at":"2026-07-05T09:26:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.20399","created_at":"2026-07-05T09:26:44Z"},{"alias_kind":"pith_short_12","alias_value":"TK47WXRH5QF4","created_at":"2026-07-05T09:26:44Z"},{"alias_kind":"pith_short_16","alias_value":"TK47WXRH5QF4P5ZQ","created_at":"2026-07-05T09:26:44Z"},{"alias_kind":"pith_short_8","alias_value":"TK47WXRH","created_at":"2026-07-05T09:26:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TK47WXRH5QF4P5ZQZ6RGUBBMRZ","target":"record","payload":{"canonical_record":{"source":{"id":"2410.20399","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-27T10:07:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"72ffddaebab8ff985612ccb3410de339c88cedb1a0c33db1e6e9a9fa92d9490f","abstract_canon_sha256":"7548f3555cf94b260c2e811073e64e97109f4ae5e13ee069e26c40d5ad0ad585"},"schema_version":"1.0"},"canonical_sha256":"9ab9fb5e27ec0bc7f730cfa26a042c8e4ea346e09a6a68b9827e480927492daa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:26:44.331660Z","signature_b64":"L47SBs06ReYZxXoRb7m+7TDRMmxMee1FYjS7Mhca+K2cBj3+RZKg2SDqgARPRTz30+TC5FCIyXzwR8pEw3RSDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9ab9fb5e27ec0bc7f730cfa26a042c8e4ea346e09a6a68b9827e480927492daa","last_reissued_at":"2026-07-05T09:26:44.331152Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:26:44.331152Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.20399","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:26:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iSM3tvHI8LmjkSxAo/btVBZn3TZ5Hf/1sUi4slM1Oy7VlFJqvL1l0XloR45UGcHGZHFa1N7XV3R1BkYhG7jWDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:00:23.581781Z"},"content_sha256":"2d579d0aaed42708a2696887fede6741c76da56e6a10bd51a482935342af40ad","schema_version":"1.0","event_id":"sha256:2d579d0aaed42708a2696887fede6741c76da56e6a10bd51a482935342af40ad"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TK47WXRH5QF4P5ZQZ6RGUBBMRZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ThunderKittens: Simple, Fast, and Adorable AI Kernels","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Aaryan Singhal, Benjamin F. Spector, Christopher R\\'e, Daniel Y. Fu, Simran Arora","submitted_at":"2024-10-27T10:07:16Z","abstract_excerpt":"The challenge of mapping AI architectures to GPU hardware is creating a critical bottleneck in AI progress. Despite substantial efforts, hand-written custom kernels fail to meet their theoretical performance thresholds, even on well-established operations like linear attention. The diverse hardware capabilities of GPUs might suggest that we need a wide variety of techniques to achieve high performance. However, our work explores whether a small number of key abstractions can drastically simplify the process. We present ThunderKittens (TK), a framework for writing performant AI kernels while re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.20399","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2410.20399/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:26:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t5VtTAdWmMpFp2+WBm+ZHcdJs/fpNgkVxJrYxglmwExFxaBy50YW0c0mEd5yrYaz28iX/BPz3Heuu+vd4dIcAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:00:23.582785Z"},"content_sha256":"0c82bc8367667478b67fa2df11dd4ffa2b8144dcff9f7f998b452415f4539ca8","schema_version":"1.0","event_id":"sha256:0c82bc8367667478b67fa2df11dd4ffa2b8144dcff9f7f998b452415f4539ca8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TK47WXRH5QF4P5ZQZ6RGUBBMRZ/bundle.json","state_url":"https://pith.science/pith/TK47WXRH5QF4P5ZQZ6RGUBBMRZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TK47WXRH5QF4P5ZQZ6RGUBBMRZ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-03T16:00:23Z","links":{"resolver":"https://pith.science/pith/TK47WXRH5QF4P5ZQZ6RGUBBMRZ","bundle":"https://pith.science/pith/TK47WXRH5QF4P5ZQZ6RGUBBMRZ/bundle.json","state":"https://pith.science/pith/TK47WXRH5QF4P5ZQZ6RGUBBMRZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TK47WXRH5QF4P5ZQZ6RGUBBMRZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TK47WXRH5QF4P5ZQZ6RGUBBMRZ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7548f3555cf94b260c2e811073e64e97109f4ae5e13ee069e26c40d5ad0ad585","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-27T10:07:16Z","title_canon_sha256":"72ffddaebab8ff985612ccb3410de339c88cedb1a0c33db1e6e9a9fa92d9490f"},"schema_version":"1.0","source":{"id":"2410.20399","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.20399","created_at":"2026-07-05T09:26:44Z"},{"alias_kind":"arxiv_version","alias_value":"2410.20399v1","created_at":"2026-07-05T09:26:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.20399","created_at":"2026-07-05T09:26:44Z"},{"alias_kind":"pith_short_12","alias_value":"TK47WXRH5QF4","created_at":"2026-07-05T09:26:44Z"},{"alias_kind":"pith_short_16","alias_value":"TK47WXRH5QF4P5ZQ","created_at":"2026-07-05T09:26:44Z"},{"alias_kind":"pith_short_8","alias_value":"TK47WXRH","created_at":"2026-07-05T09:26:44Z"}],"graph_snapshots":[{"event_id":"sha256:0c82bc8367667478b67fa2df11dd4ffa2b8144dcff9f7f998b452415f4539ca8","target":"graph","created_at":"2026-07-05T09:26:44Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2410.20399/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The challenge of mapping AI architectures to GPU hardware is creating a critical bottleneck in AI progress. Despite substantial efforts, hand-written custom kernels fail to meet their theoretical performance thresholds, even on well-established operations like linear attention. The diverse hardware capabilities of GPUs might suggest that we need a wide variety of techniques to achieve high performance. However, our work explores whether a small number of key abstractions can drastically simplify the process. We present ThunderKittens (TK), a framework for writing performant AI kernels while re","authors_text":"Aaryan Singhal, Benjamin F. Spector, Christopher R\\'e, Daniel Y. Fu, Simran Arora","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-27T10:07:16Z","title":"ThunderKittens: Simple, Fast, and Adorable AI Kernels"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.20399","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:2d579d0aaed42708a2696887fede6741c76da56e6a10bd51a482935342af40ad","target":"record","created_at":"2026-07-05T09:26:44Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"7548f3555cf94b260c2e811073e64e97109f4ae5e13ee069e26c40d5ad0ad585","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.LG","submitted_at":"2024-10-27T10:07:16Z","title_canon_sha256":"72ffddaebab8ff985612ccb3410de339c88cedb1a0c33db1e6e9a9fa92d9490f"},"schema_version":"1.0","source":{"id":"2410.20399","kind":"arxiv","version":1}},"canonical_sha256":"9ab9fb5e27ec0bc7f730cfa26a042c8e4ea346e09a6a68b9827e480927492daa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9ab9fb5e27ec0bc7f730cfa26a042c8e4ea346e09a6a68b9827e480927492daa","first_computed_at":"2026-07-05T09:26:44.331152Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:26:44.331152Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"L47SBs06ReYZxXoRb7m+7TDRMmxMee1FYjS7Mhca+K2cBj3+RZKg2SDqgARPRTz30+TC5FCIyXzwR8pEw3RSDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:26:44.331660Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.20399","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d579d0aaed42708a2696887fede6741c76da56e6a10bd51a482935342af40ad","sha256:0c82bc8367667478b67fa2df11dd4ffa2b8144dcff9f7f998b452415f4539ca8"],"state_sha256":"0c9b4b4280b60940ed683c72ac42bb44e28fc5dd69e7349945f4f76fbab25bd0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MvEZejLsJGS5FTWSmOOgwEBpXKhlO/EnJBx8H+3zpzk2ZliWOS1LUPSd+3rEBKZWvP/ng2h7HYGE/e+KPGXCAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:00:23.589544Z","bundle_sha256":"41df1aeba949958ff37cd708be11f5a457a154e4ca9310452b21861506d351b8"}}